Air conditioner terminal load prediction and control method and device, regulation and control equipment and terminal

Abstract

The invention discloses an air conditioner terminal load prediction and control method and device, regulation and control equipment and a terminal. The method comprises the steps of predicting a cold and heat energy load estimated value of a target air duct area in a target future time period according to a temperature and humidity advanced control condition of the target air duct area regulated and controlled by a target central air conditioner terminal; according to the cold and heat energy load estimated value, the cold and heat energy supply value needing to be provided by the target central air conditioner in the target future time period is calculated; current temperature and humidity values are collected in an air supply and return channel of the target central air conditioner terminal; according to the current temperature and humidity value, determining time delay and a regulation strategy when the target air pipe area is regulated to reach temperature and humidity balance on the expected temperature and humidity value according to the cold and heat energy supply value; and when the system time reaches the adjusting time point matched with the time delay, a water valve and a draught fan at the tail end of the target central air conditioner are adjusted and controlled according to the adjusting and controlling strategy. According to the embodiment of the invention, the air conditioner use experience feeling of indoor personnel is improved, and the energy consumption is effectively reduced.

Description

Technical Field

[0001] The present invention relates to the field of air conditioning control technology, and in particular to a method, device, regulating equipment and terminal for predicting and controlling the load of an air conditioning terminal. Background Art

[0002] The terminal components of a central air conditioning system, such as fan coil units, typically consist of a heat exchanger, fan, water pan, water pipes, exhaust valve, and brackets. Their operating principle is to continuously circulate indoor air through heat exchange between the fan and the coil, cooling (or heating) the air as it passes through the cold (or hot) water coil, thereby maintaining a dynamic balance between the indoor temperature and humidity.

[0003] In the existing technology, in the process of maintaining indoor temperature and humidity balance according to a specific terminal control strategy, the temperature and humidity values are collected in real time by the temperature and humidity sensors in the supply and return air ducts. When it is determined based on the real-time temperature and humidity collection results that the indoor environment has a load change (for example, a large number of people suddenly enter), a new terminal control strategy is re-determined to achieve a new temperature and humidity balance.

[0004] In the process of realizing the present invention, the inventors found that the existing terminal control method has a time lag. Sudden load changes in the indoor environment will cause temperature and humidity imbalance for a period of time, seriously affecting the user experience. In addition, this sudden temperature and humidity imbalance will also cause rapid fluctuations in the entire air-conditioning system. This process often causes a certain amount of energy waste. Summary of the Invention

[0005] The embodiments of the present invention provide a method, device, control equipment and terminal for predicting and controlling the air conditioning terminal load, so as to pre-regulate the water valve and fan of the air conditioning terminal according to the predicted value of the air conditioning terminal load, thereby improving the air conditioning user experience of indoor personnel and effectively reducing energy consumption.

[0006] According to one aspect of an embodiment of the present invention, a method for predicting and controlling terminal load of a central air conditioner is provided, comprising:

[0007] When the temperature and humidity of the target duct area controlled by the target central air-conditioning terminal are controlled in advance, the estimated cooling and heating energy load of the target duct area in the target future period is predicted;

[0008] Based on the estimated cooling and heating energy load, calculate the cooling and heating energy supply value required by the target central air-conditioning terminal in the target future period;

[0009] Collect current temperature and humidity values in the supply and return air ducts of the target central air conditioning terminal;

[0010] Based on the current temperature and humidity values, determining the time delay and control strategy required to control the target air duct area to achieve temperature and humidity balance at the preset desired temperature and humidity values according to the cold and hot energy supply values;

[0011] When the current system time reaches the adjustment time point that matches the time delay, the water valve and the fan at the target central air-conditioning terminal are regulated according to the regulation strategy.

[0012] According to another aspect of an embodiment of the present invention, there is also provided a device for predicting and controlling terminal load of a central air conditioner, comprising:

[0013] The load forecasting module is used to predict the estimated value of the cooling and heating energy load of the target air duct area in the target future period when the temperature and humidity control conditions of the target air duct area regulated by the target central air conditioning terminal are met;

[0014] The supply value calculation module is used to calculate the supply value of cooling and heating energy required to be provided by the target central air-conditioning terminal in the target future period based on the estimated cooling and heating energy load;

[0015] A real-time acquisition module is used to collect current temperature and humidity values in the supply and return air ducts of the target central air-conditioning terminal;

[0016] A control strategy determination module is used to determine, based on the current temperature and humidity values, the time delay required to control the target air duct area to achieve temperature and humidity balance at a preset desired temperature and humidity value according to the cold and hot energy supply value, and the control strategy to be adopted;

[0017] The actual control module is used to control the water valve and fan of the target central air-conditioning terminal according to the control strategy when the current system time reaches the adjustment time point that matches the time delay.

[0018] According to another aspect of an embodiment of the present invention, a control device is further provided, the control device comprising:

[0019] at least one processor; and

[0020] a memory communicatively connected to the at least one processor; wherein,

[0021] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for predicting and controlling the terminal load of the central air conditioner as described in any embodiment of the present invention.

[0022] According to another aspect of an embodiment of the present invention, there is further provided a central air conditioning terminal, comprising: an electric water valve, a fan, a fan controller provided on the fan, a first temperature sensor and a humidity sensor provided in a return air duct, a second temperature sensor provided in a supply air duct, and a control device according to any one of the embodiments of the present invention;

[0023] Wherein, the control device is electrically connected to the electric water valve, the fan controller, the first temperature sensor, the second temperature sensor and the humidity sensor respectively.

[0024] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement a method for predicting and controlling the terminal load of a central air conditioner as described in any embodiment of the present invention when executed.

[0025] According to another aspect of an embodiment of the present invention, a computer program product is also provided, comprising a computer program, which, when executed by a processor, implements the steps of the method for predicting and controlling the terminal load of a central air conditioner as described in any embodiment of the present invention.

[0026] The technical solution of the embodiment of the present invention predicts the estimated value of the cold and hot energy load of the target air duct area in the target future time period; calculates the cold and hot energy supply value required to be provided by the target central air-conditioning terminal in the target future time period based on the estimated value of the cold and hot energy load; collects the current temperature and humidity values in the supply and return air ducts of the target central air-conditioning terminal; determines the time delay and the control strategy required to adjust the target air duct area to reach temperature and humidity balance at the preset expected temperature and humidity values according to the current temperature and humidity values; when the current system time reaches the adjustment time point that matches the time delay, the technical means of regulating the water valve and fan of the target central air-conditioning terminal according to the control strategy can be used to regulate the water valve and fan of the air-conditioning terminal in advance according to the predicted value of the air-conditioning terminal load, thereby optimizing the existing air-conditioning terminal control method, and effectively reducing the energy consumption of the air-conditioning system while improving the air-conditioning usage experience of indoor personnel.

[0027] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present invention, nor is it intended to limit the scope of the present invention. Other features of the present invention will become readily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0029] Figure 1 This is a flow chart of a method for predicting and controlling terminal load of a central air conditioner provided in accordance with an embodiment of the present invention;

[0030] Figure 2 Another method for predicting and controlling the terminal load of a central air conditioner is provided according to an embodiment of the present invention;

[0031] Figure 3 2. It is a structural diagram of a central air-conditioning terminal load prediction and control device provided according to an embodiment of the present invention;

[0032] Figure 4 This is a schematic structural diagram of a control device for implementing the method for predicting and controlling the terminal load of a central air conditioner according to an embodiment of the present invention;

[0033] Figure 5 It is a structural schematic diagram of a central air-conditioning terminal provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0034] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0035] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0036] Figure 1A flowchart of a method for predicting and controlling the terminal load of a central air conditioner provided in an embodiment of the present invention. This embodiment can be applied to planning the control strategy of the water valve and fan of the set air duct area at a preset time point in advance based on the cold and hot energy load prediction results of the set air duct area in a set future time period, and adjusting the water valve and fan in advance when the system time reaches the time point. The method can be executed by a prediction and control device for the terminal load of the central air conditioner, which can be implemented in the form of hardware and / or software, and can generally be configured in a control device with data processing function.

[0037] The control device can be installed in each central air conditioning terminal in the central air conditioning system and connected to each component in the central air conditioning terminal via a wired connection. Alternatively, the control device can be an independent device installed outside the central air conditioning terminal and connected to each component in the central air conditioning terminal via a wireless connection. Furthermore, the control device can also communicate with the building management system (BMS) to send the actual collected data or generated control results to the BMS for data analysis, processing, or storage.

[0038] Correspondingly, such as Figure 1 As shown, the method may include:

[0039] S110 , when the conditions for pre-controlling the temperature and humidity of the target air duct area regulated by the target central air-conditioning terminal are met, predicting an estimated value of the cooling and heating energy load of the target air duct area in the target future period.

[0040] It is understandable that a central air-conditioning system can generally be configured in a building, and the central air-conditioning system includes multiple central air-conditioning terminals (typically, fan coil units). Each central air-conditioning terminal is used to regulate the temperature and humidity in the air duct area where it is located, so that the air duct area can achieve dynamic balance at the temperature and humidity expected values pre-set by the user. For example, a building can include multiple rooms, and a central air-conditioning terminal can be independently set in each room. The room where each central air-conditioning terminal is set is the air duct area regulated by the central air-conditioning terminal. The user can uniformly set a temperature expected value of 26 degrees and a humidity expected value of 45% for each room. Then, the central air-conditioning system achieves dynamic balance in each room at the above-mentioned temperature and humidity setting values by regulating the fan and water valve of each central air-conditioning terminal.

[0041] In this embodiment, the advance control condition can be understood as a condition for pre-regulating the temperature and humidity of the target air duct area. For example, each day can be divided into time periods according to preset time units, such as hourly periods. Then, the advance control condition can be determined to be satisfied when the difference between the current system time and the start time of the next time period is less than or equal to a preset time period.

[0042] In a specific example, when the current system time reaches 2:50 PM each day (or each weekday), it is determined that the conditions for preemptive temperature and humidity control of a target duct area are met during the future time period from 3:00 PM to 4:00 PM on that day. In this example, the preset duration is set to 10 minutes.

[0043] Alternatively, the advance control condition can also be determined in conjunction with the usage plan of the target air duct area. For example, if the target air duct area is a reservable conference room, and by parsing the conference room's reservation plan, it is determined that the conference room has a meeting scheduled from 3:00 PM to 4:00 PM on June 20, 2025, then 3:00 PM to 4:00 PM on June 20, 2025 can be determined as a target future time period within the target air duct area. Furthermore, it can be determined that when the current system time reaches 2:50 PM on June 20, 2025, the advance control condition for temperature and humidity in the target air duct area is met.

[0044] It can be understood that the above two examples both use the time difference of 10 minutes from the starting time point of the target future time period as the trigger condition for the advance control condition. In fact, the time difference of the above time advance control can be preset according to actual conditions, and this embodiment does not limit this.

[0045] Since the embodiments of the present invention need to realize advance control of the central air-conditioning terminal, the target future period belongs to a period that has not yet been experienced, and the actual heat and cold energy load of the target duct area during this period cannot be known. Therefore, the embodiments of the present invention consider predicting the heat and cold energy load of the target future period based on the historical heat and cold energy load of the target duct area in each historical period, that is, predicting the estimated heat and cold energy load of the target duct area in the target future period. Among them, the heat and cold energy load can be understood as the total amount of heat that needs to be removed or supplemented by the air-conditioning system per unit time to maintain a specific space within the target temperature and humidity range.

[0046] In an optional implementation of this embodiment, predicting the estimated cooling and heating energy load of the target air duct area in the target future time period may include:

[0047] Inputting the target air duct area and the target future time period into a pre-trained load model to obtain an estimated value of the cooling and heating energy load of the target air duct area in the target future time period predicted by the load model;

[0048] The load model is trained by constructing training samples using historical temperature and humidity values collected from the supply and return air ducts of multiple central air conditioning terminals within a building over multiple historical time periods. Different central air conditioning terminals are used to control different air duct areas within the building.

[0049] S120. Calculate the cooling and heating energy supply value required by the target central air-conditioning terminal in the target future period based on the cooling and heating energy load estimate.

[0050] The cold and hot energy supply value can be understood as the effective energy transferred by the air-conditioning system to the target space through the cold and hot media (water / air / refrigerant) per unit time.

[0051] In this embodiment, after predicting the estimated value of the hot and cold energy load of the target duct area in the target future time period, the hot and cold energy supply value required to be provided by the target central air-conditioning terminal in the target future time period can be calculated based on the estimated value of the hot and cold energy load.

[0052] In a specific example, the cooling and heating energy supply value can be calculated according to the formula: cooling and heating energy supply value = (cooling and heating energy load estimate / system comprehensive energy efficiency ratio) + dynamic correction term.

[0053] Among them, the system comprehensive energy efficiency ratio can be a first empirical value determined based on factors such as host efficiency, transmission and distribution loss, and terminal conversion efficiency, and the dynamic correction item can be a second empirical value determined based on factors such as climate fluctuations, equipment aging, and sudden changes in population density.

[0054] S130. Collect current temperature and humidity values in the supply and return air ducts of the target central air-conditioning terminal.

[0055] In this embodiment, before determining the advance control strategy to be adopted, the current temperature and humidity values in the supply and return air ducts of the target central air-conditioning terminal at the current system time can be first collected.

[0056] Specifically, a temperature sensor and a humidity sensor are provided in the return air duct of the target central air-conditioning terminal, which can be used to collect the current temperature and humidity values in the return air duct, and a temperature sensor is provided in the supply air duct of the target central air-conditioning terminal, which can be used to collect the current temperature value in the supply air duct.

[0057] In a specific example, the current temperature and humidity values collected by the temperature and humidity sensors are all analog quantities. Therefore, it is necessary to first convert the analog quantities into digital quantities.

[0058] S140. Determine, based on the current temperature and humidity values, the time delay and the control strategy required to control the target air duct area to reach temperature and humidity balance at the preset desired temperature and humidity values according to the cold and hot energy supply values.

[0059] Generally speaking, the entire building, under the control of the central air conditioning system, can achieve dynamic equilibrium in an ideal temperature and humidity environment. Accordingly, the above-mentioned ideal temperature and humidity values can be set in advance as the desired temperature and humidity values.

[0060] In this embodiment, since advance control is required to achieve temperature and humidity balance at the desired temperature and humidity values within the target future period, the corresponding time delay and control strategy need to be determined in real time in combination with the current temperature and humidity.

[0061] The time delay can be understood as the waiting time from the start of regulating the temperature and humidity values of the target air duct area according to the cold and hot energy supply values to the time when the target air duct area finally reaches the temperature and humidity balance at the desired temperature and humidity values. Combined with this time delay, it is possible to determine the specific time point at which the target air duct area needs to be regulated, so that when time passes to the starting point of the target future time period, it can immediately enter the temperature and humidity balance state. The control strategy can be understood as the specific control method for the water valve and fan at the end of the target central air conditioner.

[0062] Furthermore, when determining the time delay, in addition to considering the current temperature and humidity values, the environmental thermal inertia also needs to be considered. Among them, environmental thermal inertia is a quantitative indicator that describes the resistance of an environmental system to change or maintain a stable state. It is used to measure the buffering capacity or recovery speed of an ecosystem, climate system or artificial environment (such as cities, industrial areas) to external interference (such as pollution, climate change, human activities). Generally speaking, the smaller the environmental thermal inertia in a set area over a period of time, the higher the rate of change of temperature and humidity in the set area during this period.

[0063] In this embodiment, a fixed empirical value of environmental thermal inertia can be used, combined with the cold and hot energy supply value, to calculate the above-mentioned time delay and control strategy. Alternatively, in order to further improve the accuracy of the calculation results, a curve of environmental thermal inertia changing with time that matches the target air duct area can be actually fitted, and then, based on the changing curve, the environmental thermal inertia of the target air duct area at different time points can be accurately obtained, and then the time delay and control strategy can be determined more accurately. Furthermore, a mapping relationship between environmental thermal inertia and cold and hot energy supply in the target air duct area can be directly established, and then, combined with the cold and hot energy supply value obtained by actual prediction, the accurate environmental thermal inertia in the target air duct area when the target central air-conditioning terminal actually provides the energy supply of the cold and hot energy supply value can be calculated.

[0064] In an optional implementation of this embodiment, determining, based on the current temperature and humidity values, the time delay required to control the target air duct area to achieve temperature and humidity equilibrium at a preset desired temperature and humidity value according to the cold and hot energy supply value and the control strategy to be adopted may include:

[0065] S1401: Query and obtain a first mapping relationship between environmental thermal inertia and hot and cold energy supply in a target air duct area, and a second mapping relationship between hot and cold energy supply and return air temperature and humidity change trends.

[0066] The second mapping relationship between the cooling and heating energy supply and the return air temperature and humidity change trend can be understood as the rate of change of the return air temperature and humidity under different cooling and heating energy supply values. Generally speaking, the greater the cooling and heating energy supply value, the greater the corresponding rate of change of the return air temperature and humidity.

[0067] In an optional implementation of this embodiment, a mapping relationship between the ambient thermal inertia and the hot and cold energy supply in each time period (for example, each hour of each day of each month), as well as a mapping relationship between the hot and cold energy supply and the return air temperature and humidity change trend can be pre-established for each air duct area in the building to further ensure the accuracy of the calculation results.

[0068] Accordingly, querying and obtaining a first mapping relationship between the thermal inertia of the environment and the supply of hot and cold energy in the target duct area, and a second mapping relationship between the supply of hot and cold energy and the change trend of the return air temperature and humidity may specifically include:

[0069] The query obtains a first mapping relationship between the ambient thermal inertia and the hot and cold energy supply that matches the target future time period in the target duct area, and a second mapping relationship between the hot and cold energy supply and the return air temperature and humidity change trend that matches the target future time period in the target duct area.

[0070] S1402. Determine the time delay required to adjust the target air duct area to reach temperature and humidity balance at the desired temperature and humidity value according to the cold and hot energy supply value based on the first mapping relationship, the second mapping relationship, the current temperature and humidity value, and the desired temperature and humidity value.

[0071] In this embodiment, a delay time analysis model can be constructed in advance, and the model parameters can be fine-tuned in combination with the first mapping relationship and the second mapping relationship. After that, the current temperature and humidity values, the expected temperature and humidity values, and the cold and hot energy supply values are input into the delay time analysis model, and the corresponding time delay can be dynamically determined by the delay time analysis model.

[0072] S1403: Determine the control strategy according to the cold and hot energy supply values.

[0073] In this embodiment, the first mapping relationship can be combined to determine the specific value of the ambient thermal inertia that matches the cold and hot energy supply value. By combining the cold and hot energy supply value with the control algorithm of the ambient thermal inertia (for example, a hierarchical step control algorithm or an intelligent fusion algorithm based on reinforcement learning, etc.), the control strategy for controlling the linkage between the water valve and the fan can be calculated.

[0074] S150: When the current system time reaches the adjustment time point that matches the time delay, the water valve and the fan at the target central air-conditioning terminal are regulated according to the regulation strategy.

[0075] The adjusted time point can be determined based on the starting time point of the target future time period and the time delay. That is, if the target future time period is from 3:00 to 4:00 p.m. and the time delay is 5 minutes, the adjusted time point can be determined as 2:55 p.m.

[0076] In an optional implementation of this embodiment, regulating the water valve and fan of the target central air-conditioning terminal according to the regulation strategy may include:

[0077] Extracting a water valve control strategy from the control strategy, and dynamically adjusting the water valve switch and / or water valve opening of the target central air-conditioning terminal according to the water valve control strategy;

[0078] A fan control strategy is extracted from the control strategy, and the fan speed and / or fan volume of the target central air-conditioning terminal are dynamically adjusted according to the fan control strategy.

[0079] The water valve monitoring and control component provided at the end of the target central air conditioner can be controlled to dynamically adjust the on / off state of the water valve switch and the size of the water valve opening. Optionally, the water valve monitoring and control component can be a switch device or a regulating valve, etc. In addition, the fan monitoring and control component provided at the end of the target central air conditioner can be controlled to dynamically adjust the fan speed and the fan air volume. The fan monitoring and control component can be a three-speed switch device, or a PWM (Pulse Width Modulation) speed control device, etc.

[0080] The technical solution of the embodiment of the present invention predicts the estimated value of the cold and hot energy load of the target air duct area in the target future time period; calculates the cold and hot energy supply value required to be provided by the target central air-conditioning terminal in the target future time period based on the estimated value of the cold and hot energy load; collects the current temperature and humidity values in the supply and return air ducts of the target central air-conditioning terminal; determines the time delay and the control strategy required to adjust the target air duct area to reach temperature and humidity balance at the preset expected temperature and humidity values according to the current temperature and humidity values; when the current system time reaches the adjustment time point that matches the time delay, the technical means of regulating the water valve and fan of the target central air-conditioning terminal according to the control strategy can be used to regulate the water valve and fan of the air-conditioning terminal in advance according to the predicted value of the air-conditioning terminal load, thereby optimizing the existing air-conditioning terminal control method, and effectively reducing the energy consumption of the air-conditioning system while improving the air-conditioning usage experience of indoor personnel.

[0081] It's important to emphasize that the various embodiments of the present invention take into account the inherent thermal inertia and load uncertainty of indoor building environments. Traditional feedback control methods based on terminal temperature sensors exhibit a certain degree of lag. Through the load analysis and prediction methods of the various embodiments of the present invention, the supply of cooling and heating energy can be combined with delay time for feedforward control, reducing feedback control delays and system oscillations. This feedforward control method, combined with building thermal inertia analysis, can also achieve peak load shaving and valley filling for integrated central air conditioning, suppressing peak loads by delivering cooling capacity in advance.

[0082] Furthermore, by accurately analyzing the terminal load of the central air-conditioning system, a mathematical model can be established for the load characteristics of the central air-conditioning system, providing a basis for optimizing the operation of the host, optimizing the pressure and flow of the chilled water pump, and other operating strategies. In ice storage systems, it provides an optimization basis for ice storage and melting strategies. In addition, after the solution of accurate statistics and analysis of the terminal heat exchange amount and providing terminal load forecast data is widely used, the overall cooling and heating energy optimization regulation of the central air-conditioning system can be achieved, and functions such as peak shaving and valley filling can be achieved. It can also achieve efficient utilization of the cold storage system and the residual cold utilization strategy, and provide data support for technologies such as load allocation and virtual power plant applications. In addition, the technical solutions of the various embodiments of the present invention have the characteristics of easy installation, high data integration, improved terminal heat exchange efficiency, guaranteed system balance, and improved energy efficiency of the central air-conditioning system.

[0083] Figure 2 This is a flow chart of another method for predicting and controlling central air conditioning terminal loads, provided by an embodiment of the present invention. This embodiment refines the aforementioned embodiments. This embodiment specifically specifies the method for constructing a load model and generating a mapping between ambient thermal inertia and the supply of hot and cold energy within each duct area.

[0084] Correspondingly, such as Figure 2 As shown, the method may specifically include:

[0085] S210. The temperature and humidity sensors installed in the return air duct of each central air-conditioning terminal are used to collect the historical temperature and humidity values of the return air duct of each central air-conditioning terminal in different historical periods.

[0086] S220. Collect historical temperature values of the air supply duct of each central air-conditioning terminal in different historical periods by setting a temperature sensor in the air supply duct of each central air-conditioning terminal.

[0087] S230. Calculate the supply and return air enthalpy difference of each central air conditioning terminal in different historical periods based on the historical temperature and humidity values of each return air duct and the historical temperature values of each supply air duct.

[0088] In this embodiment, the ambient temperature and humidity conditions in different seasons in the same building have a greater impact on the actual temperature and humidity control strategy of the central air-conditioning system. Therefore, it is possible to consider using "one year" as the statistical dimension and counting every hour of every day of each year as the smallest unit of the historical period.

[0089] Furthermore, multiple sets of historical temperature and humidity values for the return air ducts and the historical temperature values for each supply air duct at the same day and hour in different years can be statistically calculated to obtain the supply and return air enthalpy difference for a set hour on a set date in the year. For example, for the historical period of 3:00-4:00 pm on June 21st from 2022 to 2025, multiple sets of historical temperature and humidity values for each return air duct and the historical temperature values for each supply air duct can be obtained for each duct area in the building. Based on these multiple sets of data, multiple supply and return air enthalpy differences can be calculated for each duct area in the building from 3:00-4:00 pm on June 21st.

[0090] The supply-return air enthalpy difference is a core parameter in air conditioning system energy analysis, reflecting the total sensible and latent heat energy consumption during air handling. The supply-return air enthalpy difference can be calculated by taking the difference between the return air enthalpy and the supply air enthalpy.

[0091] In a specific example, the saturated water vapor pressure of the supply air duct and the saturated water vapor pressure of the return air duct can be calculated using a set of historical temperature values of the return air duct and the historical temperature values of the supply air duct. Then, based on the saturated water vapor pressure of the supply air duct and the preset humidity empirical value, the actual water vapor pressure of the supply air duct is calculated, and the actual water vapor pressure of the return air duct is calculated by combining the saturated water vapor pressure of the return air duct and the measured historical humidity value of the return air duct. Furthermore, the humidity content of the supply air duct is calculated based on the actual water vapor pressure of the supply air duct, and the humidity content of the return air duct is calculated based on the actual water vapor pressure of the return air duct. Then, the supply air enthalpy value and the return air enthalpy value are calculated based on the humidity content of the supply air duct and the humidity content of the return air duct, respectively. Finally, based on the supply air enthalpy value and the return air enthalpy value, a supply and return air enthalpy difference is calculated.

[0092] As mentioned above, the return air enthalpy difference at each time point in each historical period can be determined based on the maximum value, minimum value, mean value, variance and other parameters of the return air enthalpy difference calculated for each historical period.

[0093] S240. Obtain the cooling and heating energy consumption values of each central air-conditioning terminal in different historical periods by performing an integration operation on the enthalpy differences of the supply and return air.

[0094] In this embodiment, after obtaining the supply and return air enthalpy difference at each time point in each historical period, the cooling and heating energy consumption values of each central air-conditioning terminal in different historical periods can be obtained through simple integration operations.

[0095] Typically, the enthalpy differences of the supply and return air at each time point in each historical period are accumulated and summed to obtain the cooling and heating energy consumption values in each historical period.

[0096] It needs to be emphasized again that the solution of the embodiment of the present invention can efficiently and accurately calculate the cold and hot energy consumption values by collecting conventional temperature and humidity data in combination with simple integral calculations, without stopping water supply and installing new metering devices in the central air-conditioning terminals, thereby effectively saving implementation costs.

[0097] S250. According to the cooling and heating energy consumption values of each central air-conditioning terminal in different historical periods and the control relationship between the central air-conditioning terminal and the air duct area, the historical cooling and heating energy load values actually required by each air duct area in different historical periods are obtained.

[0098] In this embodiment, since different central air-conditioning terminals are used to regulate different air duct areas in the building, after obtaining the hot and cold energy consumption values of each central air-conditioning terminal in different historical periods, the required hot and cold energy consumption values of each air duct area in different historical periods can be obtained.

[0099] In an optional implementation of this embodiment, historical cooling and heating energy load values corresponding to respective cooling and heating energy consumption values can be calculated based on preset empirical parameters such as the cooling and heating energy efficiency ratio, distribution system efficiency, and auxiliary energy consumption. In other words, the historical cooling and heating energy load values actually required for each duct area during different historical time periods can be obtained accordingly.

[0100] S260. Construct a plurality of training samples based on the historical cooling and heating energy load values actually required by each duct area in different historical periods, and use each training sample to train a preset machine learning model to obtain the load model.

[0101] S270. By performing differential calculation on the historical temperature and humidity values of each return air duct and the historical temperature values of each supply air duct, the temperature and humidity change rates of the air duct areas controlled by each central air conditioning terminal in each historical period are obtained.

[0102] It can be understood that after obtaining the historical temperature and humidity values of each return air channel and the historical temperature values of each supply air channel, the temperature and humidity change rate of the duct area controlled by each central air-conditioning terminal in each historical period can be obtained through simple differential calculation.

[0103] As mentioned above, in this embodiment, a specific hour in a certain month and day can also be used as a specific historical period. Of course, those skilled in the art can determine the specific division method of the historical period according to actual conditions, and this embodiment does not limit this.

[0104] S280. Calculate a trend diagram of the change of the ambient thermal inertia in each duct area in different historical periods based on the temperature and humidity change rates of each duct area in each historical period.

[0105] As previously mentioned, there is a negative correlation and dynamic equilibrium between ambient thermal inertia and the rate of change of temperature and humidity. In practice, the thermal inertia value within the ambient thermal inertia is directly proportional to the product of the inverse of the temperature change rate and the sensible heat load fluctuation, while the hygroscopic inertia value within the ambient thermal inertia is directly proportional to the product of the inverse of the humidity change rate and the sensible humidity load fluctuation. The sensible heat load fluctuation and sensible humidity load fluctuation can be obtained from a table based on the building's actual location.

[0106] Based on the above negative correlation, the transformation trend diagram of the environmental thermal inertia in each duct area in different historical periods can be calculated according to the temperature and humidity change rate of each duct area in each historical period.

[0107] S290. Collect historical cooling and heating energy supply values provided by each central air-conditioning terminal in different historical periods, and generate a mapping relationship between environmental thermal inertia and cooling and heating energy supply in each duct area based on each historical cooling and heating energy supply value and each transformation trend graph.

[0108] Since the historical cooling and heating energy supply values provided by each central air-conditioning terminal in different historical periods are known values, then, combined with the above known information, a mapping relationship between the environmental thermal inertia and cooling and heating energy supply in each duct area can be directly established.

[0109] Among them, the mapping relationship between the environmental thermal inertia and the cold and hot energy supply in each of the above-mentioned air duct areas carries a time parameter, that is, the mapping relationship between the environmental thermal inertia and the cold and hot energy supply at each specific time point (a certain hour, minute and second on a certain day of a certain month) in each air duct area is finally generated.

[0110] S2100. When the conditions for advance control of temperature and humidity in the target air duct area regulated by the target central air-conditioning terminal are met, the target air duct area and the target future time period are input into a pre-trained load model to obtain an estimated value of the cold and hot energy load of the target air duct area in the target future time period predicted by the load model.

[0111] S2110. Calculate the cooling and heating energy supply value required by the target central air-conditioning terminal in the target future period based on the cooling and heating energy load estimate.

[0112] S2120. Collect current temperature and humidity values in the supply and return air ducts of the target central air-conditioning terminal.

[0113] S2130: Query and obtain a first mapping relationship between the thermal inertia of the environment and the supply of hot and cold energy in the target air duct area, and a second mapping relationship between the supply of hot and cold energy and the change trend of return air temperature and humidity.

[0114] In a specific example, to further improve calculation accuracy, a calculation period may be determined first according to the current system time and the starting point of the target future period, and then the first mapping relationship and the second mapping relationship within the calculation period are obtained.

[0115] For example, at 2:50 p.m. on June 21, the advance control condition for the target duct area at the target future time of 3:00 p.m. to 4:00 p.m. is met. At this time, the time period of 2:50 p.m. to 3:00 p.m. on June 21 can be used as the calculation period to obtain the first mapping relationship and the second mapping relationship of the target duct area in this calculation period.

[0116] S2140. Based on the first mapping relationship, the second mapping relationship, the current temperature and humidity values, and the expected temperature and humidity values, determine the time delay and control strategy required to control the target air duct area to achieve temperature and humidity balance at the expected temperature and humidity values according to the cold and hot energy supply values.

[0117] S2150: When the current system time reaches the adjustment time point that matches the time delay, the water valve and the fan at the target central air-conditioning terminal are regulated according to the regulation strategy.

[0118] The technical solution of the embodiment of the present invention can pre-regulate the water valve and fan of the air-conditioning terminal according to the predicted value of the air-conditioning terminal load, thereby optimizing the existing air-conditioning terminal control method. While improving the air-conditioning user experience of indoor personnel, it can effectively reduce the energy consumption of the air-conditioning system.

[0119] Based on the above embodiments, after regulating the water valve and fan of the target central air-conditioning terminal according to the regulation strategy, the following steps may also be included:

[0120] Calculating a maximum cooling and heating energy supply value estimate and a minimum cooling and heating energy supply value estimate of a target central air-conditioning terminal according to the cooling and heating energy load estimate;

[0121] According to the maximum cooling and heating energy supply value estimate and the minimum cooling and heating energy supply value estimate, the maximum cooling and heating energy and the minimum cooling and heating energy that the target central air-conditioning terminal can provide in the future time period are limited.

[0122] In an optional implementation of this embodiment, empirical parameters such as system overall efficiency, load fluctuation peak coefficient, safety margin, base load ratio, and building inertia energy release compensation can be combined to calculate the maximum and minimum estimated cold and hot energy supply values of the target central air-conditioning terminal based on the estimated cold and hot energy load. The above two estimated values are used as thresholds to limit the maximum and minimum cold and hot energy that the target central air-conditioning terminal can provide in future time periods.

[0123] Through the above settings, it is possible to effectively avoid excessive supply of cold and heat caused by external cold and heat intrusion, over-sized system selection, etc., and effectively avoid temperature imbalance caused by indoor thermal inertia.

[0124] Figure 3 This is a schematic diagram of the structure of a device for predicting and controlling the terminal load of a central air conditioner provided by an embodiment of the present invention. Figure 3 As shown, the device includes: a load prediction module 310, a supply value calculation module 320, a real-time acquisition module 330, a control strategy determination module 340 and an actual control module 350, wherein:

[0125] The load prediction module 310 is used to predict the estimated cooling and heating energy load of the target duct area in the target future period when the temperature and humidity control conditions of the target duct area controlled by the target central air-conditioning terminal are met;

[0126] The supply value calculation module 320 is used to calculate the supply value of cooling and heating energy required to be provided by the target central air-conditioning terminal in the target future period based on the estimated cooling and heating energy load;

[0127] A real-time acquisition module 330 is used to collect current temperature and humidity values in the supply and return air ducts of the target central air conditioning terminal;

[0128] The control strategy determination module 340 is used to determine, based on the current temperature and humidity values, the time delay required to control the target air duct area to achieve temperature and humidity equilibrium at a preset desired temperature and humidity value according to the cold and hot energy supply value, and the control strategy to be adopted;

[0129] The actual control module 350 is used to control the water valve and fan of the target central air-conditioning terminal according to the control strategy when the current system time reaches the adjustment time point that matches the time delay.

[0130] The technical solution of the embodiment of the present invention predicts the estimated value of the cold and hot energy load of the target air duct area in the target future time period; calculates the cold and hot energy supply value required to be provided by the target central air-conditioning terminal in the target future time period based on the estimated value of the cold and hot energy load; collects the current temperature and humidity values in the supply and return air ducts of the target central air-conditioning terminal; determines the time delay and the control strategy required to adjust the target air duct area to reach temperature and humidity balance at the preset expected temperature and humidity values according to the current temperature and humidity values; when the current system time reaches the adjustment time point that matches the time delay, the technical means of regulating the water valve and fan of the target central air-conditioning terminal according to the control strategy can be used to regulate the water valve and fan of the air-conditioning terminal in advance according to the predicted value of the air-conditioning terminal load, thereby optimizing the existing air-conditioning terminal control method, and effectively reducing the energy consumption of the air-conditioning system while improving the air-conditioning usage experience of indoor personnel.

[0131] Based on the above embodiments, the load forecasting module 310 can be specifically used to:

[0132] Inputting the target air duct area and the target future time period into a pre-trained load model to obtain an estimated value of the cooling and heating energy load of the target air duct area in the target future time period predicted by the load model;

[0133] Among them, by using the historical temperature and humidity values collected in the supply and return air ducts of multiple central air-conditioning terminals in the building during multiple historical time periods to construct training samples, the load model is obtained through training, and different central air-conditioning terminals are used to regulate different air duct areas in the building.

[0134] Based on the above embodiments, a load model training module may also be included, which is used to:

[0135] Before inputting the target air duct area and target future time period into the pre-trained load model, the temperature and humidity sensors installed in the return air duct of each central air conditioning terminal are used to collect the historical temperature and humidity values of the return air duct of each central air conditioning terminal in different historical time periods;

[0136] The temperature sensor set in each air supply duct of the central air conditioning terminal is used to collect the historical temperature values of the air supply duct of each central air conditioning terminal in different historical periods;

[0137] Based on the historical temperature and humidity values of each return air channel and the historical temperature values of each supply air channel, the enthalpy difference of the supply and return air of each central air conditioning terminal in different historical periods is calculated;

[0138] By integrating the enthalpy differences of the supply and return air, the cooling and heating energy consumption values of the central air-conditioning terminals in different historical periods are obtained;

[0139] According to the cooling and heating energy consumption values of each central air-conditioning terminal in different historical periods, and the control relationship between the central air-conditioning terminal and the air duct area, the historical cooling and heating energy load values actually required by each air duct area in different historical periods are obtained;

[0140] According to the historical cooling and heating energy load values actually required by each duct area in different historical periods, multiple training samples are constructed, and each training sample is used to train a preset machine learning model to obtain the load model.

[0141] Based on the above embodiments, the control strategy determination module 340 can be specifically used to:

[0142] Query and obtain a first mapping relationship between the thermal inertia of the environment and the supply of hot and cold energy in the target duct area, and a second mapping relationship between the supply of hot and cold energy and the change trend of return air temperature and humidity;

[0143] Determining, based on the first mapping relationship, the second mapping relationship, the current temperature and humidity values, and the desired temperature and humidity values, a time delay required to control the target air duct area to reach temperature and humidity equilibrium at the desired temperature and humidity values according to the cold and hot energy supply values;

[0144] The control strategy is determined according to the cold and hot energy supply values.

[0145] Based on the above embodiments, a mapping relationship establishment module may be further included, which is used to:

[0146] Before querying and obtaining the first mapping relationship between the environmental thermal inertia and the cold and hot energy supply in the target air duct area, the temperature and humidity sensors set in the return air duct of each central air-conditioning terminal are used to collect the historical temperature and humidity values of the return air duct of each central air-conditioning terminal in different historical periods;

[0147] The temperature sensor set in each air supply duct of the central air conditioning terminal is used to collect the historical temperature values of the air supply duct of each central air conditioning terminal in different historical periods;

[0148] By performing differential calculations on the historical temperature and humidity values of each return air channel and the historical temperature values of each supply air channel, the temperature and humidity change rates of the air duct area controlled by each central air conditioning terminal in each historical period are obtained;

[0149] According to the temperature and humidity change rate of each air duct area in each historical period, the transformation trend diagram of the environmental thermal inertia in each air duct area in different historical periods is calculated;

[0150] The historical cooling and heating energy supply values provided by each central air-conditioning terminal in different historical periods are collected, and based on the historical cooling and heating energy supply values and the transformation trend graphs, a mapping relationship between the environmental thermal inertia and the cooling and heating energy supply in each duct area is generated.

[0151] Based on the above embodiments, the actual control module 350 can be specifically used to:

[0152] Extracting a water valve control strategy from the control strategy, and dynamically adjusting the water valve switch and / or water valve opening of the target central air-conditioning terminal according to the water valve control strategy;

[0153] A fan control strategy is extracted from the control strategy, and the fan speed and / or fan volume of the target central air-conditioning terminal are dynamically adjusted according to the fan control strategy.

[0154] On the basis of the above embodiments, a control extreme value limiting module may be further included, which is used to:

[0155] After regulating the water valve and fan of the target central air-conditioning terminal according to the control strategy, calculating the maximum and minimum cooling and heating energy supply value estimates of the target central air-conditioning terminal based on the cooling and heating energy load estimates;

[0156] According to the maximum cooling and heating energy supply value estimate and the minimum cooling and heating energy supply value estimate, the maximum cooling and heating energy and the minimum cooling and heating energy that the target central air-conditioning terminal can provide in the future time period are limited.

[0157] The device for predicting and controlling the air conditioner terminal load provided in the embodiment of the present invention can execute the method for predicting and controlling the air conditioner terminal load provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0158] In the technical solutions disclosed herein, the collection, storage, use, processing, transmission, provision and disclosure of user personal information involved comply with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0159] Figure 4A schematic diagram of the structure of a control device 10 that can be used to implement an embodiment of the present invention is shown. The control device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The control device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein. Alternatively, the control device can also be a programmable logic device with data processing capabilities such as a single-chip microcomputer, FPGA or DSP with a simpler structure. The control device implements the methods of various embodiments of the present invention by interacting with one or more central air-conditioning terminals in a central air-conditioning system. Among them, the control device can be set inside the central air-conditioning terminal, or it can be set separately as an independent device and communicated with one or more central air-conditioning terminals by wired or wireless means.

[0160] like Figure 4 As shown, the control device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 and a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores a computer program executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from a storage unit 16 into the RAM 13. The RAM 13 can also store various programs and data required for the operation of the control device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0161] Several components in the control device 10 are connected to the I / O interface 15, including a storage unit 16, such as a magnetic disk or optical disk, and a communication unit 17, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 17 allows the control device 10 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0162] The processor 11 may be any general-purpose and / or specialized processing component with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors that run machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as executing the prediction and control method for the central air-conditioning terminal load as described in various embodiments of the present invention, that is,

[0163] When the temperature and humidity of the target duct area controlled by the target central air-conditioning terminal are controlled in advance, the estimated cooling and heating energy load of the target duct area in the target future period is predicted;

[0164] Based on the estimated cooling and heating energy load, calculate the cooling and heating energy supply value required by the target central air-conditioning terminal in the target future period;

[0165] Collect current temperature and humidity values in the supply and return air ducts of the target central air conditioning terminal;

[0166] Based on the current temperature and humidity values, determining the time delay and control strategy required to control the target air duct area to achieve temperature and humidity balance at the preset desired temperature and humidity values according to the cold and hot energy supply values;

[0167] When the current system time reaches the adjustment time point that matches the time delay, the water valve and the fan at the target central air-conditioning terminal are regulated according to the regulation strategy.

[0168] In some embodiments, the method for predicting and controlling the terminal load of a central air conditioner as described in the various embodiments of the present invention may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 16. In some embodiments, part or all of the computer program may be loaded and / or installed on the control device 10 via the ROM 12 and / or the communication unit 17. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method for predicting and controlling the terminal load of a central air conditioner as described in the various embodiments of the present invention described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the method for predicting and controlling the terminal load of a central air conditioner as described in the various embodiments of the present invention in any other appropriate manner (for example, by means of firmware).

[0169] Various embodiments of the systems and techniques described herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system-on-chip systems (SOCs), programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system comprising at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0170] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when the computer program is executed by the processor, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The computer program may be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0171] In the context of the present invention, computer-readable storage media can be tangible media that can contain or store a computer program for use with an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. Computer-readable storage media can include but are not limited to electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, computer-readable storage media can be machine-readable signal media. More specific examples of machine-readable storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0172] Figure 5 This is a schematic diagram of the structure of a central air-conditioning terminal provided by an embodiment of the present invention. Figure 5 As shown, the central air-conditioning terminal can be specifically a fan coil unit 1.

[0173] In this embodiment, the central air-conditioning terminal (fan coil unit 1) can specifically include: an electric water valve 2, a fan 4, a fan controller (not shown in the figure) arranged on the fan 4, a first temperature sensor 5 and a humidity sensor 7 arranged in the return air channel, a second temperature sensor 6 arranged in the supply air channel, and a control device 3 as described in any one of the embodiments of the present invention.

[0174] In this embodiment, the control device 3 is specifically arranged inside the fan coil unit 1. In fact, the control device 3 can be independently arranged outside the fan coil unit 1, and can also be connected to multiple fan coil units at the same time.

[0175] Among them, the control device 3 is electrically connected to the first temperature sensor 5, the humidity sensor 7, the second temperature sensor 6, the electric water valve 2 and the fan controller (the connection relationship is shown in the figure) to implement the control method described in each embodiment of the present invention.

[0176] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in the present invention can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved. This is not limited herein.

[0177] The above specific embodiments do not limit the scope of protection of the present invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention are intended to be included within the scope of protection of the present invention.

Claims

1. A method for predicting and controlling the terminal load of a central air conditioner, characterized in that: include: When the temperature and humidity of the target duct area controlled by the target central air-conditioning terminal are controlled in advance, the estimated cooling and heating energy load of the target duct area in the target future period is predicted; Based on the estimated cooling and heating energy load, calculate the cooling and heating energy supply value required by the target central air-conditioning terminal in the target future period; Collect current temperature and humidity values in the supply and return air ducts of the target central air conditioning terminal; Based on the current temperature and humidity values, determining the time delay and control strategy required to control the target air duct area to achieve temperature and humidity balance at the preset desired temperature and humidity values according to the cold and hot energy supply values; When the current system time reaches the adjustment time point that matches the time delay, the water valve and the fan at the target central air-conditioning terminal are regulated according to the regulation strategy.

2. The method according to claim 1, characterized in that Predict the estimated cooling and heating energy loads for the target duct area during the target future period, including: Inputting the target air duct area and the target future time period into a pre-trained load model to obtain an estimated value of the cooling and heating energy load of the target air duct area in the target future time period predicted by the load model; Among them, by using the historical temperature and humidity values collected in the supply and return air ducts of multiple central air-conditioning terminals in the building during multiple historical time periods to construct training samples, the load model is obtained through training, and different central air-conditioning terminals are used to regulate different air duct areas in the building.

3. The method according to claim 2, characterized in that Before inputting the target duct area and target future time period into the pre-trained load model, the following steps are also included: The temperature and humidity sensors installed in the return air duct of each central air-conditioning terminal are used to collect the historical temperature and humidity values of the return air duct of each central air-conditioning terminal in different historical periods; The temperature sensor set in each air supply duct of the central air conditioning terminal is used to collect the historical temperature values of the air supply duct of each central air conditioning terminal in different historical periods; Based on the historical temperature and humidity values of each return air channel and the historical temperature values of each supply air channel, the enthalpy difference of the supply and return air of each central air conditioning terminal in different historical periods is calculated; By integrating the enthalpy differences of the supply and return air, the cooling and heating energy consumption values of the central air-conditioning terminals in different historical periods are obtained; According to the cooling and heating energy consumption values of each central air-conditioning terminal in different historical periods, and the control relationship between the central air-conditioning terminal and the air duct area, the historical cooling and heating energy load values actually required by each air duct area in different historical periods are obtained; According to the historical cooling and heating energy load values actually required by each duct area in different historical periods, multiple training samples are constructed, and each training sample is used to train a preset machine learning model to obtain the load model.

4. The method according to claim 1, wherein Based on the current temperature and humidity values, determining the time delay required to control the target air duct area to reach temperature and humidity balance at the preset desired temperature and humidity values according to the cold and hot energy supply values and the control strategy to be adopted includes: Query and obtain a first mapping relationship between the thermal inertia of the environment and the supply of hot and cold energy in the target duct area, and a second mapping relationship between the supply of hot and cold energy and the change trend of return air temperature and humidity; Determining, based on the first mapping relationship, the second mapping relationship, the current temperature and humidity values, and the desired temperature and humidity values, a time delay required to control the target air duct area to reach temperature and humidity equilibrium at the desired temperature and humidity values according to the cold and hot energy supply values; The control strategy is determined according to the cold and hot energy supply values.

5. The method according to claim 4, characterized in that Before querying and obtaining the first mapping relationship between the environmental thermal inertia and the cold and hot energy supply in the target air duct area, the method further includes: The temperature and humidity sensors installed in the return air duct of each central air-conditioning terminal are used to collect the historical temperature and humidity values of the return air duct of each central air-conditioning terminal in different historical periods; The temperature sensor set in each air supply duct of the central air conditioning terminal is used to collect the historical temperature values of the air supply duct of each central air conditioning terminal in different historical periods; By performing differential calculations on the historical temperature and humidity values of each return air channel and the historical temperature values of each supply air channel, the temperature and humidity change rates of the air duct area controlled by each central air conditioning terminal in each historical period are obtained; According to the temperature and humidity change rate of each air duct area in each historical period, the transformation trend diagram of the environmental thermal inertia in each air duct area in different historical periods is calculated; The historical cooling and heating energy supply values provided by each central air-conditioning terminal in different historical periods are collected, and based on the historical cooling and heating energy supply values and the transformation trend graphs, a mapping relationship between the environmental thermal inertia and the cooling and heating energy supply in each duct area is generated.

6. The method according to claim 1, characterized in that The water valve and fan at the target central air-conditioning terminal are regulated according to the control strategy, including: Extracting a water valve control strategy from the control strategy, and dynamically adjusting the water valve switch and / or water valve opening of the target central air-conditioning terminal according to the water valve control strategy; A fan control strategy is extracted from the control strategy, and the fan speed and / or fan volume of the target central air-conditioning terminal are dynamically adjusted according to the fan control strategy.

7. The method according to any one of claims 1 to 6, characterized in that After regulating the water valve and fan at the target central air-conditioning terminal according to the regulation strategy, the method further includes: Calculating a maximum cooling and heating energy supply value estimate and a minimum cooling and heating energy supply value estimate for a target central air-conditioning terminal based on the cooling and heating energy load estimate; According to the maximum cooling and heating energy supply value estimate and the minimum cooling and heating energy supply value estimate, the maximum cooling and heating energy and the minimum cooling and heating energy that the target central air-conditioning terminal can provide in the future time period are limited.

8. A device for predicting and controlling the terminal load of a central air conditioner, characterized in that: include: The load forecasting module is used to predict the estimated value of the cooling and heating energy load of the target air duct area in the target future period when the temperature and humidity control conditions of the target air duct area regulated by the target central air conditioning terminal are met; The supply value calculation module is used to calculate the supply value of cooling and heating energy required to be provided by the target central air-conditioning terminal in the target future period based on the estimated cooling and heating energy load; A real-time acquisition module is used to collect current temperature and humidity values in the supply and return air ducts of the target central air-conditioning terminal; A control strategy determination module is used to determine, based on the current temperature and humidity values, the time delay required to control the target air duct area to achieve temperature and humidity balance at a preset desired temperature and humidity value according to the cold and hot energy supply value, and the control strategy to be adopted; The actual control module is used to control the water valve and fan of the target central air-conditioning terminal according to the control strategy when the current system time reaches the adjustment time point that matches the time delay.

9. A control device, characterized in that: The control device includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for predicting and controlling the terminal load of the central air conditioner according to any one of claims 1 to 7.

10. A central air conditioning terminal, characterized in that: The central air conditioning terminal includes: an electric water valve, a fan, a fan controller provided on the fan, a first temperature sensor and a humidity sensor provided in the return air duct, a second temperature sensor provided in the supply air duct, and the control device according to claim 9; Wherein, the control device is electrically connected to the electric water valve, the fan controller, the first temperature sensor, the second temperature sensor and the humidity sensor respectively.

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